In conversation with the Lancet on how we can predict infections
Ashleigh Myall joins Diana Samuel to discuss a new machine-learning framework that integrates dynamic patient-contact networks with patient clinical variables and contextual hospital variables to predict hospital-onset COVID-19 infections.
ASHLEIGH MYALL, FOUNDER
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Viral Prediction
As clinically validated and published in The Lancet Digital Health, our infection acquisition models achieve 0.89 AUC-ROC in predicting COVID-19 in hospitals.
Hidden Outbreak Detected
Combined genomics + network modelling identified a real-world outbreak at Imperial College Healthcare NHS Trust.
